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在前期研究工作中,作者提出基于天然气基分布式能源系统智慧建筑能源物联网(NDES-SG)概念以及框架,而本文则重点对NDES-SG中,冷热输送管网能量耗散关键影响因素—保温层优化设计展开研究。本文以冷热物流管网输配为研究对象,研究冷热物流输送管道保温层厚度与输送距离(供冷、热半径)的协同关系,以及选取不同保温材料时,管网经济特性规律。分析结果表明,任意一种保温材料在一定约束条件下,冷热输配管网存在保温厚度与供能半径最优协同关系,即“二者协同最优”拐点值。在NDES-SG中,基于天然气基的分布式产能系统及大中型蓄能系统的位置布点、物联网总能系统效率与输送管网的损失密切相关,因此此研究成果将为智慧建筑能源物联网的冷热电管网输配优化设计以及产能系统和蓄能系统容量的选择和布点的研究提供了理论指导与研究思路。
In the previous research work, the author put forward the concept and framework of intelligent building energy internet of things (NDES-SG) based on natural gas-based distributed energy system. In this paper, we focus on the key influencing factors of energy dissipation in NDES-SG - Insulation design optimization research. In this paper, the distribution of hot and cold logistics pipe network as the research object, research hot and cold logistics pipeline insulation thickness and transmission distance (cooling and heating radius) synergies, and select different insulation materials, pipe network economic characteristics of law. The analysis results show that under certain constraint conditions, the optimal synergistic relationship between the thermal insulation thickness and the radius of energy supply exists in the heat and cold distribution pipe network of any kind of insulation material, that is, the value of the “both synergy optimal” inflection point. In NDES-SG, based on the distribution of natural gas-based distributed production systems and large and medium-sized energy storage systems, the total system efficiency of IoT is closely related to the loss of transmission pipe network. Therefore, the research results will be used for intelligent building energy IoT The hot and cold power transmission and distribution network optimization design and production capacity and energy storage system capacity selection and distribution point of study provides theoretical guidance and research ideas.